<span>Defective rate can be expected
to keep an eye on a Poisson distribution. Mean is equal to 800(0.02) = 16,
Variance is 16, and so standard deviation is 4.
X = 800(0.04) = 32, Using normal approximation of the Poisson distribution Z1 =
(32-16)/4 = 4.
P(greater than 4%) = P(Z>4) = 1 – 0.999968 = 0.000032, which implies that
having such a defective rate is extremely unlikely.</span>
<span>If the defective rate in the
random sample is 4 percent then it is very likely that the assembly line
produces more than 2% defective rate now.</span>
Answer:
i believe the answer is B
Step-by-step explanation:
make 2 and 2/3 a decimal
2 divided by 3 will give you .6 repeating. just round to .8
then divide 48 by 2.8
it will give you 17.142
i just rounded it to 18... bc its so close to it
<u>hope this helps :)</u>
Factors of 12 : 1, 2, 3, 4, 6, 12
Factors of 20: 1, 2, 4, 5, 10, 20
In both lists of factors, 4 is in common. Therefore, the value of K is 4 because it can divide into both 12 and 20 without a remainder. 2 is also another possible value of K.
23 is less than 25 which means it's closer to 20, so you would round it down to 20. 1.75 is over 0.50, 1/2, so you would round it up to 2. If you multiply 2 and 20 you would get 40.
Number two gets the same explanation just with different numbers.
For this case we must find the value of the variable "p" of the following equation:
We apply distributive property on the left side of the equation taking into account that 
and 
:
We add similar terms:
We subtract 
from both sides of the equation:
We subtract 8 from both sides of the equation:
We divide by -6 on both sides of the equation:
Answer:
